ABSTRACT
This chapter charts the broad Indigenous data changes and challenges that have emerged in the decade since the first version of Indigenous Statistics was released in 2013. First, we detail the central components of the data revolution of the last ten years: big data; dramatic changes in data ecosystems; the exponential growth in the power of data; artificial intelligence (AI); and also the growing data divide and associated forms of data dependency that are a consequence of this dramatically changing data space. As outlined, while there are considerable population benefits possible from the data revolution, these changes are not without risks. These risks, however, tend to be downplayed by proponents of big data and AI in their enthusiasm for these new technologies. As further outlined in this chapter, these data technology risks however tend to impact those parts of the population, such as Indigenous Peoples, who are already marginalized. The Indigenous response has been a growing movement, globally, but especially in the CANZUS countries, for Indigenous Data Sovereignty rights. As explained here, Indigenous Data Sovereignty is made manifest through Indigenous Data Governance.
